Author:
Publisher:
ISBN:
Category : Blind
Languages : en
Pages : 974
Book Description
Recording for the Blind & Dyslexic, ... Catalog of Books
Author:
Publisher:
ISBN:
Category : Blind
Languages : en
Pages : 974
Book Description
Publisher:
ISBN:
Category : Blind
Languages : en
Pages : 974
Book Description
Catalog of Copyright Entries. Third Series
Author: Library of Congress. Copyright Office
Publisher: Copyright Office, Library of Congress
ISBN:
Category : Copyright
Languages : en
Pages : 1624
Book Description
Publisher: Copyright Office, Library of Congress
ISBN:
Category : Copyright
Languages : en
Pages : 1624
Book Description
An Introduction to Data Processing for Business
Author: Robert J. Thierauf
Publisher: John Wiley & Sons
ISBN: 9780471034391
Category : Business & Economics
Languages : en
Pages : 388
Book Description
Publisher: John Wiley & Sons
ISBN: 9780471034391
Category : Business & Economics
Languages : en
Pages : 388
Book Description
The Vocational-technical Library Collection
Author: Bruce Reinhart
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 406
Book Description
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 406
Book Description
Books and Pamphlets, Including Serials and Contributions to Periodicals
Author: Library of Congress. Copyright Office
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 568
Book Description
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 568
Book Description
Instructors Manual to Accompany Business Data Comm Unications
Author: Fitzgerald
Publisher:
ISBN: 9780471511779
Category :
Languages : en
Pages : 372
Book Description
Publisher:
ISBN: 9780471511779
Category :
Languages : en
Pages : 372
Book Description
The Data Science Design Manual
Author: Steven S. Skiena
Publisher: Springer
ISBN: 3319554441
Category : Computers
Languages : en
Pages : 456
Book Description
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
Publisher: Springer
ISBN: 3319554441
Category : Computers
Languages : en
Pages : 456
Book Description
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
Resources in Education
Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 352
Book Description
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 352
Book Description
The Publishers' Trade List Annual
Author:
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 1186
Book Description
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 1186
Book Description
Learning Directory
Author:
Publisher:
ISBN:
Category : Teaching
Languages : en
Pages : 940
Book Description
Publisher:
ISBN:
Category : Teaching
Languages : en
Pages : 940
Book Description